Utility of GOES-R Instruments for Hurricane Data Assimilation and Forecasting
CSU Project #: 5-31121Sponsor: NOAA
Primary Investigator: Dr. Milija Zupanski
Other Projects Member(s): Karina Apodaca Dr. Louie Grasso Dr. John A. Knaff Dr. Man Zhang
Start Date: June 1st, 2010
End Date: May 31st, 2013
Web Site: http://www.cira.colostate.edu/projects/ensemble/show_page.php?page=noaa_jcsda_2011
Objectives:
- Combine all components into a single ensemble-based data assimilation system and conduct benchmark experiments (without lightning data).
- Evaluate the impact of GOES-R ABI proxy data in TC application.
- Evaluate the impact of IR sounder proxy data in clear skies in TC application. Temporal impact of advanced sounding product on hurricane forecast will be conducted by including AIRS alone, and by combining AIRS and IASI, respectively.
- Submit manuscript(s) for publication in peer-reviewed scientific journals. Present the results on the webpage and at the conferences/ workshops on this subject.
Progress Reports:
CIRA Themes relevant to this project:
- Data Assimilation
General Themes relevant to this project:
